Eritrea vs Zimbabwe: Groundnuts, excluding shelled — Gross Production Value
Eritrea
109,936 1000 SLC
in 2024
Zimbabwe
56,627 1000 SLC
in 2018
Eritrea rank
52nd
Zimbabwe rank
55th
Groundnuts, excluding shelled — Gross Production Value over time
- Eritrea
- Zimbabwe
How they compare
Eritrea currently reports 109,936 1000 SLC against 56,627 1000 SLC in Zimbabwe, a difference of 53,309 1000 SLC.
That makes Eritrea's figure about 1.9 times Zimbabwe's.
The two have swapped places 4 times across 21 shared years of data; in 1993 it was Eritrea ahead.
Eritrea ranks 52nd and Zimbabwe ranks 55th of 80 countries.
Across the 3 decades both report, Eritrea averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Eritrea | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 7,343 1000 SLC | 777.14 1000 SLC | 6,565 1000 SLC | Eritrea |
| 2000s | 19,387 1000 SLC | 15.87 million 1000 SLC | 15.85 million 1000 SLC | Zimbabwe |
| 2010s | 68,614 1000 SLC | 35,422 1000 SLC | 33,192 1000 SLC | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher groundnuts, excluding shelled — gross production value, Eritrea or Zimbabwe?
- Eritrea, at 109,936 1000 SLC against 56,627 1000 SLC in Zimbabwe as of 2024.
- What is the difference in groundnuts, excluding shelled — gross production value between Eritrea and Zimbabwe?
- 53,309 1000 SLC, with Eritrea ahead.
- How many years of comparable data are there for Eritrea and Zimbabwe?
- 21 years are reported by both, from 1993 to 2018.
- How do Eritrea and Zimbabwe rank globally for groundnuts, excluding shelled — gross production value?
- Eritrea ranks 52nd and Zimbabwe ranks 55th of 80 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Groundnuts, excluding shelled — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.